Update README.md

README.md

@@ -31,80 +31,6 @@ duplicated_from: awacke1/Gradio-Gallery-Health-Medical-Icon-Sets
 4. Data Visualization
 5. Longitudinal Analysis
 
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-# AI Applications in Healthcare
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-## Integration in Health Care
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-AI can be used in multiple ways in healthcare integration, especially with HL7v2, v3, v4 for ADT, SIU, ORM, CCDA, and FHIR.
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-### Interoperability
-- Understanding and mapping different versions of HL7 messages.
-- Seamless data exchange between disparate systems.
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-### Data Standardization
-- Transforming data in different standards to a common format.
-- Enabling more effective data usage across different healthcare systems.
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-### Predictive Analytics
-- Predicting patient outcomes based on data from different health care standards.
-- Enabling better patient care.
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-### Clinical Decision Support
-- Providing clinical decision support by analyzing data from different healthcare standards.
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-### Data Quality
-- Detecting and correcting errors in different healthcare standards.
-- Improving the quality of healthcare data.
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-## Prior Authorization Medical Necessity Requirements by Policy
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-AI can help in several ways in the area of Prior Authorization Medical Necessity Requirements by policy.
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-### Policy Understanding
-- Understanding the nuances of different policies.
-- Determining the medical necessity requirements.
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-### Claims Processing
-- Processing claims more efficiently.
-- Understanding the medical necessity requirements.
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-### Policy Compliance
-- Ensuring all medical procedures comply with the necessary policies.
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-### Fraud Detection
-- Detecting any fraudulent activities.
-- Comparing the claims with the medical necessity requirements.
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-### Policy Optimization
-- Suggesting improvements to policies based on analysis of past claims and medical necessity requirements.
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-## CCD Summarization
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-AI can play a crucial role in CCD summarization, creating longitudinal and easy-to-understand clinical summaries.
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-### Data Extraction
-- Extracting relevant information from CCD for summarization.
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-### Data Standardization
-- Standardizing the extracted information for easier understanding.
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-### Summarization
-- Summarizing the CCD in a way that's easy to understand for both clinicians and patients.
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-### Data Visualization
-- Creating visual summaries of CCD for easier comprehension.
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-### Longitudinal Analysis
-- Creating longitudinal summaries of patient health data.
-- Monitoring patient progress over time.
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-# Medicare and Medicaid Innovations
-- Understanding different requirements and regulations.
-- Processing claims more efficiently.
-- Detecting fraud.
-- Providing decision support to clinicians.
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 # 🩺 AI Applications in Healthcare
 
 ## 🏥 Integration in Health Care